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Stochastic control / Bayesian statistics / Estimation theory / Partially observable Markov decision process / Maximum likelihood / Markov decision process / Kalman filter / Marginal likelihood / Normal distribution / Statistics / Dynamic programming / Markov processes


Sequential Bayesian Optimisation for Spatial-Temporal Monitoring Roman Marchant NICTA & University of Sydney Sydney, Australia [removed]
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Document Date: 2015-01-05 23:35:43


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City

Cambridge / /

Company

Neural Information Processing Systems / MIT Press / E. Powley / /

Country

Australia / /

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Event

Environmental Issue / /

Facility

University of British Columbia / University of Sydney Sydney / University of Alberta / /

IndustryTerm

deeper search strategies / real-time online / analytical solution / nonmyopic planning solutions / large-scale outdoor monitoring applications / near-optimal solutions / exploitation solution / possible online solutions / Non-myopic solutions / ONLINE POMDPs / intermediate solutions / multi-step lookahead decision making algorithms / search tree / non-myopic decision making solution / real-world robotics applications / online decision making / online setting / search algorithm / tedious search / action selection search / /

Organization

Royal Statistical Society / AI / MIT / BO POMDP / University of Sydney Sydney / SBO MCTS / SBO POMDP / University of Alberta / University of British Columbia / Computational Intelligence / /

Person

Carlo Tree / Roman Marchant / E. Brochu / V / Fabio Ramos / C HILD / Ni / Sydney Sydney / Scott Sanner / /

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Position

vp / expected cumulative discounted reward rt / rt / /

ProvinceOrState

Alberta / British Columbia / /

PublishedMedium

Journal of the Royal Statistical Society / Machine Learning / Journal of Machine Learning Research / Journal of Artificial Intelligence Research / /

Technology

alpha / Online Planning Algorithms / artificial intelligence / search algorithm / MCTS algorithm / GPS / UCT algorithm / multi-step lookahead decision making algorithms / BO algorithm / machine learning / simulation / /

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